MatlabSimulink

提供了adaboost Algoritm的工具箱，该算法是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器(强分类器)。 (Adaboost is an iterative algorithm, the core idea is the same training set for training the different classifiers (weak classifier), then these weak classifiers together to form a stronger final classifier (strong classification) .)

雷达信号的基本模型，高斯分布，几何分布，求信号的概率分布，概率密度函数，功率谱函数，自相关函数等等(The basic model of the radar signal, Gaussian distribution, geometric distribution, the probability distribution for the signal, probability density function, power spectrum, the autocorrelation function, and so)

此程序是2013年全国研究生数学竞赛的D题的折射部分的程序，则会是一个很好地程序，本程序用matlab编写实现。(This program is the 2013 National Graduate Mathematical Contest Problem D refraction part of the process, then there is a good program, this program using matlab implementation.)

CAPABILITY OF STATCOM AND SSSC DAMPING CONTROL TO IMPROVE POWER SYSTEM OSCILLATION STABILITY

说明：  与连续信号的解调相比，短时突发信号持续时间短，不适用性能良好的反馈环路算法，需要使用前向幵环算法。与一般突发信号相比，短时突发信号没有训练序列、同步头等辅助信息，所有参数需要利用有限的数据估计。与合作通信相比，盲接收信号参数的初始偏差较大，估计范围小的算法不适用。每个突发包的数据有限，解调过程不允许丢失任何符号。(Compared with the demodulation of continuous signal, short burst signal has a shorter duration and is not suitable for the feedback loop algorithm with good performance. Forward loop algorithm is needed.)

使用深度神经网络解决无线网络中资源分配问题(Using deep neural networks to solve the problem of resource allocation in wireless networks)

toolbox_calib是加州理工经典相机标定包。(California Institute of Technology toolbox_calib classic camera calibration package.)

hidden markove modeling for text dependent speaker recognition

This is the presentation explaining implementation of DES algorithm.

CT图像重建中的代数重建工具包(AIR Tools is a MATLAB software package for tomographic reconstruction (and other imaging problems) consisting of a number of algebraic iterative reconstruction methods. The work was carried out as part of the project CSI: Computational Science in Imaging, funded by the Danish Research Council for Technology and Production Sciences, and headed by Prof. Per Christian Hansen, DTU Compute. The collaborators are DTU Compute, Dept. of Electronic Systems at Aalborg University, and MOSEK ApS. The main part of the Matlab code was written by Maria Saxild-Hansen. The core of the functions fambeamtomo, paralleltomo, and seismictomo was written by Jakob Sauer J鴕gensen.)